Hmm, yeah it looks like I could use that to represent time since start of day. I'm porting existing large SQL queries from Postgres to Spark SQL for a quickPOC, so I'd prefer not to have to make many changes to it. I'm not sure if the CalendarIntervalType can be used as a drop-in replacement (i.e. if all the same operators are defined for it), but I'll give it a try.
- Philip On Fri, Apr 1, 2016 at 1:33 PM, Michael Armbrust <mich...@databricks.com> wrote: > There is also CalendarIntervalType. Is that what you are looking for? > > On Fri, Apr 1, 2016 at 1:11 PM, Philip Weaver <philip.wea...@gmail.com> > wrote: > >> Hi, I don't see any mention of a time type in the documentation (there is >> DateType and TimestampType, but not TimeType), and have been unable to find >> any documentation about whether this will be supported in the future. Does >> anyone know if this is currently supported or will be supported in the >> future? >> > >
